Welcome to the Applied Machine Learning Research Lab
Mission:
The Applied Machine Learning Research Lab (DAMLR) envisions a synergistic collaboration with industrial partners and research institutes to advance the frontiers of theoretical machine learning and AI research. Focused on pivotal areas such as data representation learning, AI safety, generative AI, and explainable AI, the lab aims to foster innovation through a multidisciplinary approach. By uniting the practical insights of industry with the pioneering theories of academia, the lab seeks to develop robust frameworks and methodologies that push the boundaries of what AI can achieve. Our lab’s mission is to ensure that advancements in AI are not only cutting-edge but also safe, interpretable, and beneficial across various applications.
Would love to collaborate with us? please visit Partners tag.
Research Areas:
Machine Learning and Large-scale Data Analysis, Artificial Intelligence (AI), Information Retrieval, Social Media, Recommender Systems, Sequential Forcasting Systems, Auto-pilot System, and other Large-scale ML Applications.
Hiring:
Our lab has one PhD student openings currently. The positions are full-funded. If you are students with 1) CS background, 2) GPA>3.8, and 3) a Master degree, please email Dr. Wu with your CV and research proposal. Please go to the Prospective Student tab for the further hiring requirements.
Special call
Hiring two PhD students and a PDF for working with our industry partners in the field of 1) computer vision (object detection) on low-power device and 2) leading big data infrastructure design for large corporation. If you are interested in the special call, please contact Dr.Wu ASAP. The requirement of PhD student hiring is same as regular PhD student track.
News:
- Applied project received IRAP program support, NRC & Outsource Marketing, 2024/10/07
- Research project received Mitacs Accelerate grant, Mitacs & Layer6 AI, 2024/08/09
- Applied project received PIVP program grant, InvestNS & OQULi, 2024/08/09
- Research project featured by Mitacs Globalink research program, Mitacs, 2024/08/07
- Applied project received Mitacs BSI grant, Mitacs & Farpoint Technologies Inc., 2024/08/05
- Granted access to ACENET node of Digital Research Alliance of Canada, 2024/05/30
- Research project received Mitacs Accelerate grant, Mitacs & UpBeing, 2023/10/20
- Research project featured by Mitacs Globalink research program, Mitacs, 2023/08/01
- Success in NSERC Discovery Grant competition, NSERC, 2023/07/01
- Received Faculty Research Startup fund, Dalhousie University, 2023/01/01